Codebook creation

Creating codebooks

The authors provide two datasets, but no further documentation - thus, we started by attempting to automatically generate some codebooks to understand the data

library(haven)
library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(codebook)

dat1 <- read_dta("reproduction_materials/combined data OSF.dta")
dat2 <- read_dta("reproduction_materials/manager survey data OSF.dta")

Codebook for combined data

codebook(dat1)

Metadata

Description

Dataset name: dat1

The dataset has N=1184 rows and 51 columns. 0 rows have no missing values on any column.

Metadata for search engines

• Date published: 2024-01-25

x method_tokens students cond study sample s5_cond s5_majority s2_tokens_0 s2_tokens_2 s2_tokens_4 s2_tokens_6 s2_tokens_8 s2_tokens_10 s2_tokens_mean s2_performance_slope tokens ztokens muchlower_score lower_score same_score higher_score muchhigher_score bonus_chance performance_slope z_performance_slope z_slope slope score percent numbersearches ln_numbersearches sqrt_numbersearches znumbersearches z_ln_numbersearches z_sqrt_numbersearches z_effort z_ln_effort z_sqrt_effort age gender woman_other race nonwhite educ college sses pol manage empstat working house_income

#Variables

method_tokens

DV type

Distribution

Distribution of values for method_tokens

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
method_tokens	DV type	numeric	0	1	0	0	1	0.1731419	0.3785298	▇▁▁▁▂	%9.0g

students

student or mturk sample

Distribution

Distribution of values for students

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
students	student or mturk sample	numeric	0	1	0	0	1	0.1435811	0.3508126	▇▁▁▁▂	%9.0g

cond

control / advantage / disdvantage conditions

Distribution

Distribution of values for cond

1 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
cond	control / advantage / disdvantage conditions	haven_labelled	1	0.9991554	1	2	3	2.000845	0.8170141	3	▇▁▁▇▁▁▁▇	%12.0g

Value labels

Response choices

name	value
Control	1
Advantage	2
Disadvantage	3

study

study

Distribution

Distribution of values for study

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
study	study	numeric	0	1	1	5	5	4.021115	1.301041	▂▂▁▅▇	%9.0g

sample

in analytic sample

Distribution

Distribution of values for sample

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
sample	in analytic sample	numeric	0	1	0	1	1	0.8800676	0.3250198	▁▁▁▁▇	%9.0g

s5_cond

all conditions in study 5

Distribution

Distribution of values for s5_cond

579 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
s5_cond	all conditions in study 5	haven_labelled	579	0.5109797	1	4	6	3.515703	1.70852	6	▇▇▁▇▇▁▇▇	%23.0g

Value labels

Response choices

name	value
control / minority	1
control / majority	2
disadvantage / minority	3
disadvantage / majority	4
advantage / minority	5
advantage / majority	6

s5_majority

majority / minority status in study 5

Distribution

Distribution of values for s5_majority

579 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
s5_majority	majority / minority status in study 5	numeric	579	0.5109797	0	1	1	0.5024793	0.5004076	▇▁▁▁▇	%10.0g

s2_tokens_0

chance of bonus if giving 0 tokens

Distribution

Distribution of values for s2_tokens_0

1081 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
s2_tokens_0	chance of bonus if giving 0 tokens	haven_labelled	1081	0.0869932	1	1	5	1.378641	0.8869037	5	▇▁▁▁▁▁▁▁	%13.0g

Value labels

Response choices

name	value
very unlikely	1
unlikely	2
neutral	3
likely	4
likely	5

s2_tokens_2

chance of bonus if giving 2 tokens

Distribution

Distribution of values for s2_tokens_2

1081 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
s2_tokens_2	chance of bonus if giving 2 tokens	haven_labelled	1081	0.0869932	1	2	5	1.92233	0.8596547	5	▅▇▁▂▁▁▁▁	%13.0g

Value labels

Response choices

name	value
very unlikely	1
unlikely	2
neutral	3
likely	4
likely	5

s2_tokens_4

chance of bonus if giving 4 tokens

Distribution

Distribution of values for s2_tokens_4

1081 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
s2_tokens_4	chance of bonus if giving 4 tokens	haven_labelled	1081	0.0869932	1	3	5	2.563107	0.8594333	5	▂▇▁▇▁▂▁▁	%13.0g

Value labels

Response choices

name	value
very unlikely	1
unlikely	2
neutral	3
likely	4
likely	5

s2_tokens_6

chance of bonus if giving 6 tokens

Distribution

Distribution of values for s2_tokens_6

1081 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
s2_tokens_6	chance of bonus if giving 6 tokens	haven_labelled	1081	0.0869932	1	3	5	3.300971	0.8498553	5	▁▃▁▇▁▇▁▁	%13.0g

Value labels

Response choices

name	value
very unlikely	1
unlikely	2
neutral	3
likely	4
likely	5

s2_tokens_8

chance of bonus if giving 8 tokens

Distribution

Distribution of values for s2_tokens_8

1081 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
s2_tokens_8	chance of bonus if giving 8 tokens	haven_labelled	1081	0.0869932	1	4	5	3.883495	0.8666022	5	▁▁▁▂▁▇▁▃	%13.0g

Value labels

Response choices

name	value
very unlikely	1
unlikely	2
neutral	3
likely	4
likely	5

s2_tokens_10

chance of bonus if giving 10 tokens

Distribution

Distribution of values for s2_tokens_10

1081 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
s2_tokens_10	chance of bonus if giving 10 tokens	haven_labelled	1081	0.0869932	1	5	5	4.475728	0.8949166	5	▁▁▁▁▁▃▁▇	%13.0g

Value labels

Response choices

name	value
very unlikely	1
unlikely	2
neutral	3
likely	4
likely	5

s2_tokens_mean

chance of bonus, avg over all token levels

Distribution

Distribution of values for s2_tokens_mean

1081 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
s2_tokens_mean	chance of bonus, avg over all token levels	numeric	1081	0.0869932	1.3	2.8	5	2.920712	0.6382185	▂▃▇▁▁	%9.0g

s2_performance_slope

performance slope for study 2

Distribution

Distribution of values for s2_performance_slope

1081 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
s2_performance_slope	performance slope for study 2	numeric	1081	0.0869932	-0.6	0.8	0.8	0.6194175	0.2693705	▁▁▁▁▇	%9.0g

tokens

number of tokens given

Distribution

Distribution of values for tokens

980 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
tokens	number of tokens given	numeric	980	0.1722973	0	5	10	5.617647	2.984506	▅▃▇▆▆	%9.0g

ztokens

tokens standardized within study

Distribution

Distribution of values for ztokens

987 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
ztokens	tokens standardized within study	numeric	987	0.1663851	-2	-0.17	1.7	-1e-07	1.05659	▅▃▇▆▆	%9.0g

muchlower_score

chance of bonus at much lower performance than other(s)

Distribution

Distribution of values for muchlower_score

210 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
muchlower_score	chance of bonus at much lower performance than other(s)	numeric	210	0.8226351	0	2	100	14.64066	21.82398	▇▁▁▁▁	%9.0g

lower_score

chance of bonus at lower performance than other(s)

Distribution

Distribution of values for lower_score

211 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
lower_score	chance of bonus at lower performance than other(s)	numeric	211	0.8217905	0	18	100	23.00308	24.58091	▇▃▂▁▁	%9.0g

same_score

chance of bonus at about same performance than other(s)

Distribution

Distribution of values for same_score

208 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
same_score	chance of bonus at about same performance than other(s)	numeric	208	0.8243243	0	50	100	45.86373	25.5882	▃▃▇▂▂	%9.0g

higher_score

chance of bonus at higher performance than other(s)

Distribution

Distribution of values for higher_score

207 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
higher_score	chance of bonus at higher performance than other(s)	numeric	207	0.8251689	0	74	100	70.77789	26.12181	▁▂▅▆▇	%9.0g

muchhigher_score

chance of bonus at much higher performance than other(s)

Distribution

Distribution of values for muchhigher_score

207 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
muchhigher_score	chance of bonus at much higher performance than other(s)	numeric	207	0.8251689	0	97	100	83.20266	23.47382	▁▁▂▂▇	%9.0g

bonus_chance

chance of bonus, avg over all performance levels

Distribution

Distribution of values for bonus_chance

206 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
bonus_chance	chance of bonus, avg over all performance levels	numeric	206	0.8260135	0	48	100	47.52509	18.38126	▁▃▇▂▁	%9.0g

performance_slope

avg increase in chance of bonus for 1 increment increase in performance

Distribution

Distribution of values for performance_slope

341 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
performance_slope	avg increase in chance of bonus for 1 increment increase in performance	numeric	341	0.7119932	-8.5	20	32	17.5603	7.390923	▁▂▆▇▇	%9.0g

z_performance_slope

performance slope stdized within study

Distribution

Distribution of values for z_performance_slope

245 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
z_performance_slope	performance slope stdized within study	numeric	245	0.7930743	-4.4	0.36	2.3	-2e-07	1.130051	▁▂▅▇▆	%9.0g

z_slope

same as z_performance_slope

Distribution

Distribution of values for z_slope

245 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
z_slope	same as z_performance_slope	numeric	245	0.7930743	-4.4	0.36	2.3	-2e-07	1.130051	▁▂▅▇▆	%9.0g

slope

same as performance slope

Distribution

Distribution of values for slope

341 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
slope	same as performance slope	numeric	341	0.7119932	-8.5	20	32	17.5603	7.390923	▁▂▆▇▇	%9.0g

score

count of number searches answered correctly

Distribution

Distribution of values for score

205 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
score	count of number searches answered correctly	numeric	205	0.8268581	0	6	29	7.875383	6.226863	▇▅▂▁▁	%9.0g

percent

percentage of number searches answered correctly

Distribution

Distribution of values for percent

205 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
percent	percentage of number searches answered correctly	numeric	205	0.8268581	0	0.71	1	0.6943476	0.2312669	▁▂▃▇▇	%9.0g

numbersearches

count of number searches attempted

Distribution

Distribution of values for numbersearches

205 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
numbersearches	count of number searches attempted	numeric	205	0.8268581	1	9	30	11.34321	8.311465	▇▆▃▂▂	%9.0g

ln_numbersearches

ln of numbersearches

Distribution

Distribution of values for ln_numbersearches

340 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
ln_numbersearches	ln of numbersearches	numeric	340	0.7128378	0	2.2	3.4	2.1174	0.8538423	▁▃▆▇▆	%9.0g

sqrt_numbersearches

square root of number searches

Distribution

Distribution of values for sqrt_numbersearches

205 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
sqrt_numbersearches	square root of number searches	numeric	205	0.8268581	1	3	5.5	3.132671	1.237393	▆▇▇▅▅	%9.0g

znumbersearches

numbersearches standardized within study

Distribution

Distribution of values for znumbersearches

340 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
znumbersearches	numbersearches standardized within study	numeric	340	0.7128378	-1.5	-0.35	2.4	-0.0687235	1.00969	▆▇▃▂▂	%9.0g

z_ln_numbersearches

ln_numbersearches standardized within study

Distribution

Distribution of values for z_ln_numbersearches

340 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
z_ln_numbersearches	ln_numbersearches standardized within study	numeric	340	0.7128378	-2.6	0.14	1.6	3e-07	1.014144	▁▃▇▇▆	%9.0g

z_sqrt_numbersearches

sqrt_numbersearches standardized within study

Distribution

Distribution of values for z_sqrt_numbersearches

340 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
z_sqrt_numbersearches	sqrt_numbersearches standardized within study	numeric	340	0.7128378	-1.8	-0.053	2.1	1e-07	1.006216	▅▇▇▅▃	%9.0g

z_effort

tokens/numsearches stdized within study

Distribution

Distribution of values for z_effort

143 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
z_effort	tokens/numsearches stdized within study	numeric	143	0.879223	-2	-0.25	2.4	-0.0557182	1.018569	▃▇▅▃▂	%9.0g

z_ln_effort

tokens/ln_numsearches stdized within study

Distribution

Distribution of values for z_ln_effort

143 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
z_ln_effort	tokens/ln_numsearches stdized within study	numeric	143	0.879223	-2.6	0.093	1.7	2e-07	1.021794	▁▅▇▇▆	%9.0g

z_sqrt_effort

tokens/sqrt_numsearches stdized within study

Distribution

Distribution of values for z_sqrt_effort

143 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
z_sqrt_effort	tokens/sqrt_numsearches stdized within study	numeric	143	0.879223	-2	-0.12	2.1	1e-07	1.015422	▃▆▇▅▃	%9.0g

age

age

Distribution

Distribution of values for age

207 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
age	age	numeric	207	0.8251689	18	32	73	33.14432	10.49867	▇▇▃▁▁	%9.0g

gender

gender

Distribution

Distribution of values for gender

273 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
gender	gender	numeric	273	0.7694257	1	2	3	1.711306	0.4928874	▃▁▇▁▁	%9.0g

woman_other

woman or other gender

Distribution

Distribution of values for woman_other

205 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
woman_other	woman or other gender	numeric	205	0.8268581	0	1	1	0.7017365	0.4577296	▃▁▁▁▇	%9.0g

race

race

Distribution

Distribution of values for race

205 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
race	race	haven_labelled	205	0.8268581	1	1	8	1.759959	1.425947	8	▇▁▂▁▁▁▁▁	%16.0g

Value labels

Response choices

name	value
White	1
Black	2
Hispanic	3
Native	4
Asian	5
Pacific Islander	6
Multiracial	7
Other Race	8

nonwhite

any nonwhite race

Distribution

Distribution of values for nonwhite

205 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
nonwhite	any nonwhite race	numeric	205	0.8268581	0	0	1	0.3146067	0.4645964	▇▁▁▁▃	%9.0g

educ

educational attainment

Distribution

Distribution of values for educ

283 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
educ	educational attainment	haven_labelled	283	0.7609797	1	4	6	4.069922	1.318499	6	▁▃▁▇▃▁▇▅	%16.0g

Value labels

Response choices

name	value
<HS	1
HS	2
Some college	3
AA/2-year degree	4
BA/4-year degree	5
Postgrad	6

college

any college degree

Distribution

Distribution of values for college

283 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
college	any college degree	numeric	283	0.7609797	0	0	1	0.4539401	0.4981505	▇▁▁▁▆	%9.0g

sses

subjective SES

Distribution

Distribution of values for sses

205 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
sses	subjective SES	numeric	205	0.8268581	1	5	10	5.105209	1.756135	▁▆▇▅▁	%9.0g

pol

political conservatism

Distribution

Distribution of values for pol

273 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
pol	political conservatism	numeric	273	0.7694257	1	4	7	3.521405	1.60642	▆▃▇▂▃	%9.0g

manage

manager

Distribution

Distribution of values for manage

273 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
manage	manager	numeric	273	0.7694257	0	0	1	0.3106476	0.463013	▇▁▁▁▃	%9.0g

empstat

employment status

Distribution

Distribution of values for empstat

273 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
empstat	employment status	haven_labelled	273	0.7694257	1	1	7	2.236004	1.668143	7	▇▂▂▂▁▁▁▁	%10.0g

Value labels

Response choices

name	value
Full-Time	1
Part-Time	2
Unemployed	3
Homemaker	4
Student	5
Retired	6
Other	7

working

working full or part time

Distribution

Distribution of values for working

273 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
working	working full or part time	numeric	273	0.7694257	0	1	1	0.6794731	0.4669355	▃▁▁▁▇	%9.0g

house_income

household income

Distribution

Distribution of values for house_income

287 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
house_income	household income	numeric	287	0.7576014	10	70	375	106.6054	108.6935	▇▃▁▁▂	%9.0g

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "dat1",
  "datePublished": "2024-01-25",
  "description": "The dataset has N=1184 rows and 51 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["method_tokens", "students", "cond", "study", "sample", "s5_cond", "s5_majority", "s2_tokens_0", "s2_tokens_2", "s2_tokens_4", "s2_tokens_6", "s2_tokens_8", "s2_tokens_10", "s2_tokens_mean", "s2_performance_slope", "tokens", "ztokens", "muchlower_score", "lower_score", "same_score", "higher_score", "muchhigher_score", "bonus_chance", "performance_slope", "z_performance_slope", "z_slope", "slope", "score", "percent", "numbersearches", "ln_numbersearches", "sqrt_numbersearches", "znumbersearches", "z_ln_numbersearches", "z_sqrt_numbersearches", "z_effort", "z_ln_effort", "z_sqrt_effort", "age", "gender", "woman_other", "race", "nonwhite", "educ", "college", "sses", "pol", "manage", "empstat", "working", "house_income"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "method_tokens",
      "description": "DV type",
      "@type": "propertyValue"
    },
    {
      "name": "students",
      "description": "student or mturk sample",
      "@type": "propertyValue"
    },
    {
      "name": "cond",
      "description": "control / advantage / disdvantage conditions",
      "value": "1. Control,\n2. Advantage,\n3. Disadvantage",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "study",
      "description": "study",
      "@type": "propertyValue"
    },
    {
      "name": "sample",
      "description": "in analytic sample",
      "@type": "propertyValue"
    },
    {
      "name": "s5_cond",
      "description": "all conditions in study 5",
      "value": "1. control / minority,\n2. control / majority,\n3. disadvantage / minority,\n4. disadvantage / majority,\n5. advantage / minority,\n6. advantage / majority",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s5_majority",
      "description": "majority / minority status in study 5",
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_0",
      "description": "chance of bonus if giving 0 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_2",
      "description": "chance of bonus if giving 2 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_4",
      "description": "chance of bonus if giving 4 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_6",
      "description": "chance of bonus if giving 6 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_8",
      "description": "chance of bonus if giving 8 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_10",
      "description": "chance of bonus if giving 10 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_mean",
      "description": "chance of bonus, avg over all token levels",
      "@type": "propertyValue"
    },
    {
      "name": "s2_performance_slope",
      "description": "performance slope for study 2",
      "@type": "propertyValue"
    },
    {
      "name": "tokens",
      "description": "number of tokens given",
      "@type": "propertyValue"
    },
    {
      "name": "ztokens",
      "description": "tokens standardized within study",
      "@type": "propertyValue"
    },
    {
      "name": "muchlower_score",
      "description": "chance of bonus at much lower performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "lower_score",
      "description": "chance of bonus at lower performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "same_score",
      "description": "chance of bonus at about same performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "higher_score",
      "description": "chance of bonus at higher performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "muchhigher_score",
      "description": "chance of bonus at much higher performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "bonus_chance",
      "description": "chance of bonus, avg over all performance levels",
      "@type": "propertyValue"
    },
    {
      "name": "performance_slope",
      "description": "avg increase in chance of bonus for 1 increment increase in performance",
      "@type": "propertyValue"
    },
    {
      "name": "z_performance_slope",
      "description": "performance slope stdized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_slope",
      "description": "same as z_performance_slope",
      "@type": "propertyValue"
    },
    {
      "name": "slope",
      "description": "same as performance slope",
      "@type": "propertyValue"
    },
    {
      "name": "score",
      "description": "count of number searches answered correctly",
      "@type": "propertyValue"
    },
    {
      "name": "percent",
      "description": "percentage of number searches answered correctly",
      "@type": "propertyValue"
    },
    {
      "name": "numbersearches",
      "description": "count of number searches attempted",
      "@type": "propertyValue"
    },
    {
      "name": "ln_numbersearches",
      "description": "ln of numbersearches",
      "@type": "propertyValue"
    },
    {
      "name": "sqrt_numbersearches",
      "description": "square root of number searches",
      "@type": "propertyValue"
    },
    {
      "name": "znumbersearches",
      "description": "numbersearches standardized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_ln_numbersearches",
      "description": "ln_numbersearches standardized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_sqrt_numbersearches",
      "description": "sqrt_numbersearches standardized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_effort",
      "description": "tokens/numsearches stdized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_ln_effort",
      "description": "tokens/ln_numsearches stdized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_sqrt_effort",
      "description": "tokens/sqrt_numsearches stdized within study",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "age",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "description": "gender",
      "@type": "propertyValue"
    },
    {
      "name": "woman_other",
      "description": "woman or other gender",
      "@type": "propertyValue"
    },
    {
      "name": "race",
      "description": "race",
      "value": "1. White,\n2. Black,\n3. Hispanic,\n4. Native,\n5. Asian,\n6. Pacific Islander,\n7. Multiracial,\n8. Other Race",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "nonwhite",
      "description": "any nonwhite race",
      "@type": "propertyValue"
    },
    {
      "name": "educ",
      "description": "educational attainment",
      "value": "1. <HS,\n2. HS,\n3. Some college,\n4. AA/2-year degree,\n5. BA/4-year degree,\n6. Postgrad",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "college",
      "description": "any college degree",
      "@type": "propertyValue"
    },
    {
      "name": "sses",
      "description": "subjective SES",
      "@type": "propertyValue"
    },
    {
      "name": "pol",
      "description": "political conservatism",
      "@type": "propertyValue"
    },
    {
      "name": "manage",
      "description": "manager",
      "@type": "propertyValue"
    },
    {
      "name": "empstat",
      "description": "employment status",
      "value": "1. Full-Time,\n2. Part-Time,\n3. Unemployed,\n4. Homemaker,\n5. Student,\n6. Retired,\n7. Other",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "working",
      "description": "working full or part time",
      "@type": "propertyValue"
    },
    {
      "name": "house_income",
      "description": "household income",
      "@type": "propertyValue"
    }
  ]
}`

Codebook for manager data

codebook(dat2)

Metadata

Description

Dataset name: dat2

The dataset has N=107 rows and 55 columns. 0 rows have no missing values on any column.

Metadata for search engines

• Date published: 2024-01-25

x warm trustworthy friendly honest likeable sincere competent intelligent skilled efficient assertive confident warmth warmth_cent zwarmth comp comp_cent zcomp prefer prefer_cent zprefer promote_bonus promote_bonus_cent zpromote_bonus hire hire_cent zhire work_outcome_cent age age_cent gender gender_3_text women_nonbin race race_7_text race_8_text hisp racev2 nonwhite educ college empstat occ working manage manage_num income income_cent sses sses_cent polsoc polecon pol pol_cent blue_advantage

#Variables

warm

warmth scale item

Distribution

Distribution of values for warm

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
warm	warmth scale item	numeric	0	1	1	4	7	4.205608	1.034666	▁▁▇▁▂	%8.0g

trustworthy

warmth scale item

Distribution

Distribution of values for trustworthy

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
trustworthy	warmth scale item	numeric	0	1	2	4	7	4.785047	1.132938	▁▇▃▃▂	%8.0g

friendly

warmth scale item

Distribution

Distribution of values for friendly

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
friendly	warmth scale item	numeric	0	1	1	4	7	4.205608	0.9784308	▁▁▇▂▁	%8.0g

honest

warmth scale item

Distribution

Distribution of values for honest

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
honest	warmth scale item	numeric	0	1	1	4	7	4.542056	1.048632	▁▁▇▃▃	%8.0g

likeable

warmth scale item

Distribution

Distribution of values for likeable

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
likeable	warmth scale item	numeric	0	1	2	4	7	4.401869	1.062747	▂▇▂▂▁	%8.0g

sincere

warmth scale item

Distribution

Distribution of values for sincere

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
sincere	warmth scale item	numeric	0	1	2	4	7	4.420561	1.090589	▂▇▂▂▁	%8.0g

competent

competence scale item

Distribution

Distribution of values for competent

1 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
competent	competence scale item	numeric	1	0.9906542	2	5	7	5.132076	1.121865	▂▆▇▆▃	%8.0g

intelligent

competence scale item

Distribution

Distribution of values for intelligent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
intelligent	competence scale item	numeric	0	1	2	4	7	4.728972	1.137442	▁▇▃▂▂	%8.0g

skilled

competence scale item

Distribution

Distribution of values for skilled

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
skilled	competence scale item	numeric	0	1	2	5	7	4.953271	1.102169	▁▇▆▆▂	%8.0g

efficient

competence scale item

Distribution

Distribution of values for efficient

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
efficient	competence scale item	numeric	0	1	2	6	7	5.682243	1.095429	▁▂▃▇▅	%8.0g

assertive

competence scale item

Distribution

Distribution of values for assertive

1 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
assertive	competence scale item	numeric	1	0.9906542	2	5	7	5.028302	1.198869	▁▇▆▅▃	%8.0g

confident

competence scale item

Distribution

Distribution of values for confident

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
confident	competence scale item	numeric	0	1	2	5	7	4.915888	1.142007	▁▇▆▅▂	%8.0g

warmth

warmth scale

Distribution

Distribution of values for warmth

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
warmth	warmth scale	numeric	0	1	2.7	4	7	4.426791	0.8700037	▁▇▂▂▁	%9.0g

warmth_cent

warmth 4 centered

Distribution

Distribution of values for warmth_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
warmth_cent	warmth 4 centered	numeric	0	1	-1.3	0	3	0.4267913	0.8700037	▁▇▂▂▁	%9.0g

zwarmth

warmth stdized, 4 centered

Distribution

Distribution of values for zwarmth

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
zwarmth	warmth stdized, 4 centered	numeric	0	1	-1.5	0	3.4	0.4792399	0.976919	▁▇▂▂▁	%9.0g

comp

competence scale

Distribution

Distribution of values for comp

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
comp	competence scale	numeric	0	1	2.8	5	7	5.075078	0.8928565	▁▅▇▇▂	%9.0g

comp_cent

comp 4 centered

Distribution

Distribution of values for comp_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
comp_cent	comp 4 centered	numeric	0	1	-1.2	1	3	1.075078	0.8928565	▁▅▇▇▂	%9.0g

zcomp

comp stdized, 4 centered

Distribution

Distribution of values for zcomp

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
zcomp	comp stdized, 4 centered	numeric	0	1	-1.3	1.1	3.3	1.182032	0.9816822	▁▅▇▇▂	%9.0g

prefer

prefer to work with

Distribution

Distribution of values for prefer

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
prefer	prefer to work with	numeric	0	1	2	5	7	5.420561	1.213426	▂▅▇▇▆	%8.0g

prefer_cent

prefer centered on 4

Distribution

Distribution of values for prefer_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
prefer_cent	prefer centered on 4	numeric	0	1	-2	1	3	1.420561	1.213426	▂▅▇▇▆	%9.0g

zprefer

prefer stdized, 4 centered

Distribution

Distribution of values for zprefer

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
zprefer	prefer stdized, 4 centered	numeric	0	1	-1.7	0.83	2.5	1.175257	1.003891	▂▅▇▇▆	%9.0g

promote_bonus

prefer to promote or bonus

Distribution

Distribution of values for promote_bonus

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
promote_bonus	prefer to promote or bonus	numeric	0	1	2	6	7	5.691589	1.06763	▁▂▇▆▆	%8.0g

promote_bonus_cent

promote_bonus 4 centered

Distribution

Distribution of values for promote_bonus_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
promote_bonus_cent	promote_bonus 4 centered	numeric	0	1	-2	2	3	1.691589	1.06763	▁▂▇▆▆	%9.0g

zpromote_bonus

promote_bonus stdized, 4 centered

Distribution

Distribution of values for zpromote_bonus

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
zpromote_bonus	promote_bonus stdized, 4 centered	numeric	0	1	-1.9	1.9	2.8	1.569508	0.9905799	▁▁▁▆▇	%9.0g

hire

prefer to hire

Distribution

Distribution of values for hire

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
hire	prefer to hire	numeric	0	1	2	6	7	5.672897	1.096957	▁▂▆▇▆	%8.0g

hire_cent

hire 4 centered

Distribution

Distribution of values for hire_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
hire_cent	hire 4 centered	numeric	0	1	-2	2	3	1.672897	1.096957	▁▂▆▇▆	%9.0g

zhire

hire stdized, 4 centered

Distribution

Distribution of values for zhire

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
zhire	hire stdized, 4 centered	numeric	0	1	-1.8	1.8	2.7	1.521006	0.9973589	▁▂▆▇▆	%9.0g

work_outcome_cent

mean of prefer, promote_bonus, hire

Distribution

Distribution of values for work_outcome_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
work_outcome_cent	mean of prefer, promote_bonus, hire	numeric	0	1	-2	1.7	3	1.595016	0.9989806	▁▁▇▆▆	%9.0g

age

age

Distribution

Distribution of values for age

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
age	age	numeric	0	1	21	36	63	37.18692	8.448658	▃▇▇▂▁	%8.0g

age_cent

age mean centered

Distribution

Distribution of values for age_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
age_cent	age mean centered	numeric	0	1	-16	-1.2	26	-4.2e-06	8.448658	▃▇▇▂▁	%9.0g

gender

gender

Distribution

Distribution of values for gender

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
gender	gender	haven_labelled	0	1	1	2	3	1.514019	0.5206035	3	▇▁▁▇▁▁▁▁	%8.0g

Value labels

Response choices

name	value
Man	1
Woman	2
Other	3

gender_3_text

gender text entry

Distribution

Distribution of values for gender_3_text

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.stata
gender_3_text	gender text entry	character	0	1	2	106	0	9	0	%9s

women_nonbin

woman or nonbinary

Distribution

Distribution of values for women_nonbin

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
women_nonbin	woman or nonbinary	numeric	0	1	0	1	1	0.5046729	0.502331	▇▁▁▁▇	%9.0g

race

race

Distribution

Distribution of values for race

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
race	race	haven_labelled	0	1	1	1	8	1.383178	1.178781	8	▇▁▁▁▁▁▁▁	%16.0g

Value labels

Response choices

name	value
White	1
Black	2
Native	3
Asian	4
Pacific Islander	5
MENA	6
Multiracial	7
Other	8

race_7_text

multiracial text entry

Distribution

## No non-missing values to show.

107 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	hist	format.stata
race_7_text	multiracial text entry	numeric	107	0	NA	NA	NA		%8.0g

race_8_text

other race text entry

Distribution

Distribution of values for race_8_text

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.stata
race_8_text	other race text entry	character	0	1	3	105	0	8	0	%9s

hisp

hispanic

Distribution

Distribution of values for hisp

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
hisp	hispanic	numeric	0	1	0	0	1	0.0841121	0.2788621	▇▁▁▁▁	%8.0g

racev2

race w hispanic recoded as a race

Distribution

Distribution of values for racev2

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
racev2	race w hispanic recoded as a race	haven_labelled	0	1	1	1	5	1.476635	1.075857	9	▇▁▁▁▁▁▁▁	%16.0g

Value labels

Response choices

name	value
White	1
Black	2
Hispanic	3
Native	4
Asian	5
Pacific Islander	6
MENA	7
Multiracial	8
Other	9

nonwhite

any nonwhite race

Distribution

Distribution of values for nonwhite

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
nonwhite	any nonwhite race	numeric	0	1	0	0	1	0.2056075	0.4060467	▇▁▁▁▂	%9.0g

educ

educational attainment

Distribution

Distribution of values for educ

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
educ	educational attainment	haven_labelled	0	1	1	5	6	4.299065	1.319055	6	▁▂▁▆▂▁▇▅	%12.0g

Value labels

Response choices

name	value
<HS	1
HS	2
Some College	3
AA/2-year	4
BA/4-year	5
Postgrad	6

college

any college degree

Distribution

Distribution of values for college

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
college	any college degree	numeric	0	1	0	1	1	0.5514019	0.4996913	▆▁▁▁▇	%9.0g

empstat

employment statys

Distribution

Distribution of values for empstat

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
empstat	employment statys	haven_labelled	0	1	1	1	4	1.093458	0.3769968	7	▇▁▁▁▁▁▁▁	%10.0g

Value labels

Response choices

name	value
Full-time	1
Part-time	2
Unemployed	3
Homemaker	4
Student	5
Retired	6
Other	7

occ

occupation

Distribution

Distribution of values for occ

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.stata
occ	occupation	character	0	1	99	2	0	44	0	%84s

working

working full or part time

Distribution

Distribution of values for working

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
working	working full or part time	numeric	0	1	0	1	1	0.9906542	0.0966736	▁▁▁▁▇	%9.0g

manage

manager

Distribution

Distribution of values for manage

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
manage	manager	numeric	0	1	0	1	1	0.8971963	0.3051316	▁▁▁▁▇	%8.0g

manage_num

number of people managing

Distribution

Distribution of values for manage_num

13 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.stata
manage_num	number of people managing	haven_labelled	13	0.8785047	1	2	4	1.819149	0.9153737	4	▇▁▅▁▁▃▁▁	%8.0g

Value labels

Response choices

name	value
1-5	1
5-10	2
10-25	3
>25	4

income

income

Distribution

Distribution of values for income

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
income	income	numeric	0	1	10	70	375	76.61215	56.77896	▇▃▁▁▁	%9.0g

income_cent

income mean centered

Distribution

Distribution of values for income_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
income_cent	income mean centered	numeric	0	1	-67	-6.6	298	-3e-07	56.77896	▇▃▁▁▁	%9.0g

sses

subjective SES

Distribution

Distribution of values for sses

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
sses	subjective SES	numeric	0	1	2	6	9	5.607477	1.496896	▂▂▇▆▁	%8.0g

sses_cent

sses mean centered

Distribution

Distribution of values for sses_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
sses_cent	sses mean centered	numeric	0	1	-3.6	0.39	3.4	-3e-07	1.496896	▂▂▇▆▁	%9.0g

polsoc

conservatism in social matters

Distribution

Distribution of values for polsoc

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
polsoc	conservatism in social matters	numeric	0	1	1	3	7	3.28972	1.827512	▇▅▅▂▃	%8.0g

polecon

conservatism in economic matters

Distribution

Distribution of values for polecon

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
polecon	conservatism in economic matters	numeric	0	1	1	4	7	3.850467	1.87236	▇▃▆▆▆	%8.0g

pol

mean of polsoc and polecon

Distribution

Distribution of values for pol

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
pol	mean of polsoc and polecon	numeric	0	1	1	4	7	3.570094	1.774357	▇▃▇▂▃	%9.0g

pol_cent

pol mean centered

Distribution

Distribution of values for pol_cent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
pol_cent	pol mean centered	numeric	0	1	-2.6	0.43	3.4	5e-07	1.774357	▇▃▇▂▃	%9.0g

blue_advantage

p presented w findings such that blue group is harder working

Distribution

Distribution of values for blue_advantage

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.stata
blue_advantage	p presented w findings such that blue group is harder working	numeric	0	1	0	0	1	0.4672897	0.5012768	▇▁▁▁▇	%8.0g

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "dat2",
  "datePublished": "2024-01-25",
  "description": "The dataset has N=107 rows and 55 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["warm", "trustworthy", "friendly", "honest", "likeable", "sincere", "competent", "intelligent", "skilled", "efficient", "assertive", "confident", "warmth", "warmth_cent", "zwarmth", "comp", "comp_cent", "zcomp", "prefer", "prefer_cent", "zprefer", "promote_bonus", "promote_bonus_cent", "zpromote_bonus", "hire", "hire_cent", "zhire", "work_outcome_cent", "age", "age_cent", "gender", "gender_3_text", "women_nonbin", "race", "race_7_text", "race_8_text", "hisp", "racev2", "nonwhite", "educ", "college", "empstat", "occ", "working", "manage", "manage_num", "income", "income_cent", "sses", "sses_cent", "polsoc", "polecon", "pol", "pol_cent", "blue_advantage"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "warm",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "trustworthy",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "friendly",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "honest",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "likeable",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "sincere",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "competent",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "intelligent",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "skilled",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "efficient",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "assertive",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "confident",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "warmth",
      "description": "warmth scale",
      "@type": "propertyValue"
    },
    {
      "name": "warmth_cent",
      "description": "warmth 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "zwarmth",
      "description": "warmth stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "comp",
      "description": "competence scale",
      "@type": "propertyValue"
    },
    {
      "name": "comp_cent",
      "description": "comp 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "zcomp",
      "description": "comp stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "prefer",
      "description": "prefer to work with",
      "@type": "propertyValue"
    },
    {
      "name": "prefer_cent",
      "description": "prefer centered on 4",
      "@type": "propertyValue"
    },
    {
      "name": "zprefer",
      "description": "prefer stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "promote_bonus",
      "description": "prefer to promote or bonus",
      "@type": "propertyValue"
    },
    {
      "name": "promote_bonus_cent",
      "description": "promote_bonus 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "zpromote_bonus",
      "description": "promote_bonus stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "hire",
      "description": "prefer to hire",
      "@type": "propertyValue"
    },
    {
      "name": "hire_cent",
      "description": "hire 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "zhire",
      "description": "hire stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "work_outcome_cent",
      "description": "mean of prefer, promote_bonus, hire",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "age",
      "@type": "propertyValue"
    },
    {
      "name": "age_cent",
      "description": "age mean centered",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "description": "gender",
      "value": "1. Man,\n2. Woman,\n3. Other",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "gender_3_text",
      "description": "gender text entry",
      "@type": "propertyValue"
    },
    {
      "name": "women_nonbin",
      "description": "woman or nonbinary",
      "@type": "propertyValue"
    },
    {
      "name": "race",
      "description": "race",
      "value": "1. White,\n2. Black,\n3. Native,\n4. Asian,\n5. Pacific Islander,\n6. MENA,\n7. Multiracial,\n8. Other",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "race_7_text",
      "description": "multiracial text entry",
      "@type": "propertyValue"
    },
    {
      "name": "race_8_text",
      "description": "other race text entry",
      "@type": "propertyValue"
    },
    {
      "name": "hisp",
      "description": "hispanic",
      "@type": "propertyValue"
    },
    {
      "name": "racev2",
      "description": "race w hispanic recoded as a race",
      "value": "1. White,\n2. Black,\n3. Hispanic,\n4. Native,\n5. Asian,\n6. Pacific Islander,\n7. MENA,\n8. Multiracial,\n9. Other",
      "maxValue": 9,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "nonwhite",
      "description": "any nonwhite race",
      "@type": "propertyValue"
    },
    {
      "name": "educ",
      "description": "educational attainment",
      "value": "1. <HS,\n2. HS,\n3. Some College,\n4. AA/2-year,\n5. BA/4-year,\n6. Postgrad",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "college",
      "description": "any college degree",
      "@type": "propertyValue"
    },
    {
      "name": "empstat",
      "description": "employment statys",
      "value": "1. Full-time,\n2. Part-time,\n3. Unemployed,\n4. Homemaker,\n5. Student,\n6. Retired,\n7. Other",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "occ",
      "description": "occupation",
      "@type": "propertyValue"
    },
    {
      "name": "working",
      "description": "working full or part time",
      "@type": "propertyValue"
    },
    {
      "name": "manage",
      "description": "manager",
      "@type": "propertyValue"
    },
    {
      "name": "manage_num",
      "description": "number of people managing",
      "value": "1. 1-5,\n2. 5-10,\n3. 10-25,\n4. >25",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "income",
      "description": "income",
      "@type": "propertyValue"
    },
    {
      "name": "income_cent",
      "description": "income mean centered",
      "@type": "propertyValue"
    },
    {
      "name": "sses",
      "description": "subjective SES",
      "@type": "propertyValue"
    },
    {
      "name": "sses_cent",
      "description": "sses mean centered",
      "@type": "propertyValue"
    },
    {
      "name": "polsoc",
      "description": "conservatism in social matters",
      "@type": "propertyValue"
    },
    {
      "name": "polecon",
      "description": "conservatism in economic matters",
      "@type": "propertyValue"
    },
    {
      "name": "pol",
      "description": "mean of polsoc and polecon",
      "@type": "propertyValue"
    },
    {
      "name": "pol_cent",
      "description": "pol mean centered",
      "@type": "propertyValue"
    },
    {
      "name": "blue_advantage",
      "description": "p presented w findings such that blue group is harder working",
      "@type": "propertyValue"
    }
  ]
}`